What does Artificial Intelligence (AI) mean?

 

Artificial intelligence (AI), also known as machine intelligence, is a branch of computer science that aims to imbue software with the ability to analyze its environment using either predetermined rules and search algorithms, or pattern recognizing machine learning models, and then make decisions based on those analyses.

This Artificial Intelligence Course has been conceived and structured to groom consummate AI professionals. In the initial modules, training is imparted on building AI systems using Deep Learning algorithms. The student learns to run all variants of Neural Network Machine Learning Algorithms. This course enables the students to implement Deep Learning solutions with Convolution Neural Networks and perform Text Analytics and Natural Language Processing (NLP) using Recurrent Neural Networks. The usage of Python libraries, GPUs, and TPUs in solving Deep Learning problems are highlighted in the best Artificial Intelligence Course in Bangalore. 

While AI often invokes images of the sentient computer overlord of science fiction, the current reality is far different. At its heart, AI uses the same basic algorithmic functions that drive traditional software, but applies them in a different way.

A standard warehouse management system, for example, can show the current levels of various products, while an intelligent one could identify shortages, analyze the cause and its effect on the overall supply chain, and even take steps to correct it.

Artificial intelligence can be allowed to replace a whole system, making all decisions end-to-end, or it can be used to enhance a specific process.

For example, analyzing video footage to recognize gestures, or replacing peripheral devices (keyboard, mouse, touchscreen) with a speech to text system., giving the impression that one is interacting with a sentient being.

Just as philosophers debate the nature of man and the existence of free will, computer science experts debate the various types of AI.

The Evolving Stages of Artificial Intelligence

Narrow (Weak) AI

Capable of performing only a limited set of predetermined functions; think, autonomous cars, retail kiosks, etc.;

General (Strong) AI

Said to equal the human mind’s ability to function autonomously according to a wide set of stimuli;

Super AI

Which will one day exceed human intelligence (and conceivably take over the world).

At the moment, Narrow AI is only beginning to enter mainstream computing applications.

Four Distinct Categories of Artificial Intelligence

Reactive AI

Can only react to existing situations, not past experiences.

Limited Memory AI

Relies on stored data to learn from recent experiences to make decisions.

Theory of Mind AI

Capable of comprehending conversational speech, emotions, non-verbal cues and other intuitive elements;

Self-Aware AI

Human-level consciousness with its own desires, goals and objectives.

A good way to visualize these distinctions would be an AI-driven poker player. A reactive machine would base decisions only on the current hand in play, while a limited memory version would consider past decisions and player profiles.